Characterizing the effectiveness of twitter hashtags to detect and track online population sentiment

Authors:
Glívia Angélica Rodrigues Barbosa;Ismael S. Silva;Mohammed Zaki;Wagner Meira, Jr.;Raquel O. Prates;Adriano Veloso
Affiliations:
Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil;Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil;Rensselaer Polytechnic Institute, Troy, New York, USA;Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil;Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil;Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
Venue:
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Year:
2012

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Abstract

In this paper we describe the preliminary results and future directions of a research in progress, which aims at assessing the hashtag effectiveness as a resource for sentiment analysis expressed on Twitter. The results so far support our hypothesis that hashtags may facilitate the detection and automatic tracking of online population sentiment about different events.